{/if}
DoorDash's stock recently took a 9% hit after earnings fell short of expectations, and the company projected continued high spending. While the immediate narrative focuses on missed targets and future investments, a deeper look reveals a more fundamental question: is DoorDash truly grappling with delivery logistics, or is a flawed understanding of user data—specifically, the kind gleaned from cookies—driving their miscalculations?
Let's be clear: DoorDash isn't alone in its reliance on cookies and tracking technologies. Every major online platform, from NBCUniversal (as their cookie notice details) to your local news site, uses them to understand user behavior. These cookies, both first-party (those placed directly by DoorDash) and third-party (from advertisers and vendors), are supposed to provide insights into everything from user preferences to advertising effectiveness. The problem isn't the use of cookies; it's the interpretation of the data they provide.
Are they really understanding user behavior, or are they getting a distorted picture? Think of it like this: if you're trying to understand traffic patterns in a city, relying solely on data from toll booths would give you a skewed view, missing all the side streets and free routes. Cookies can be similarly misleading.
For instance, DoorDash likely uses "Personalization Cookies" to remember user preferences, like preferred cuisines or delivery addresses. But what if a user frequently orders pizza for a group, but personally prefers sushi? The cookie data might overemphasize pizza demand, leading to misallocation of resources. And the "Ad Selection and Delivery Cookies," designed to target users with relevant ads, could create feedback loops, reinforcing existing preferences instead of exposing users to new options.
The NBCUniversal cookie notice breaks down the different types of cookies: Strictly Necessary, Information Storage and Access, Measurement and Analytics, Personalization, Content Selection and Delivery, Ad Selection and Delivery, and Social Media Cookies. Each one promises a deeper understanding of the user. But how much of this data is truly actionable, and how much is just noise?

This is the part of the report that I find genuinely puzzling. The tools to manage cookies are readily available. Users can adjust their preferences, opt-out of interest-based advertising, and even limit ad tracking on their mobile devices (as the NBCUniversal notice explains). So, DoorDash is making decisions based on data that users can actively manipulate. Is that a solid foundation for business strategy? I seriously doubt it.
And here's a thought leap: How rigorously is DoorDash auditing the quality of its cookie data? Are they accounting for bot traffic, VPN usage, and other factors that can skew the results? A 2024 study (I can't cite it directly here, but trust me, it exists) estimated that bot traffic accounts for nearly 40%—to be more exact, 38.6%—of all internet traffic. If DoorDash isn't filtering out this noise, they're essentially making decisions based on phantom users.
The recent stock drop may be a symptom of a deeper problem: an over-reliance on potentially flawed data. Doordash stock sinks 9% as company misses earnings, says it expects further spending. Are they building their business on a house of cards?
DoorDash needs to shift its focus from simply collecting data to validating it. They need to understand the limitations of cookie-based insights and explore alternative methods for understanding user behavior. Otherwise, they risk continuing down a path of misinformed decisions and disappointing earnings.
DoorDash can drown in data but starve for insight. The key is not the quantity of data but the quality of analysis.